ai-traffic-tracking

ai-traffic-tracking is a skill for Claude Code, Codex from kostja94/marketing-skills. It costs 93 tokens per session (998 once invoked), scanned A, original, MIT.

A guide for measuring visits that come from AI search services such as ChatGPT, Perplexity, Gemini, Claude, and Copilot in Google Analytics 4 and Search Console.

In plain words
What is it for?
Use it to identify AI-driven visits, separate them from regular search traffic, and review sessions, engagement, conversions, and Google AI Overviews.
Why use it?
AI referrals can be grouped under broad sources such as referral, organic, or direct, making their effect difficult to see separately.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to identify AI-driven visits, separate them from regular search traffic, and review sessions, engagement, conversions, and Google AI Overviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kostja94/marketing-skills/ai-traffic
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add kostja94/marketing-skills --skill ai-traffic
Clone the repo
git clone --depth 1 https://github.com/kostja94/marketing-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-traffic-tracking

README.md
[![agentmods](https://agentmods.dev/badge/skills/kostja94/marketing-skills/ai-traffic/github.svg)](https://agentmods.dev/skills/kostja94/marketing-skills/ai-traffic)
Your own site
<a href="https://agentmods.dev/skills/kostja94/marketing-skills/ai-traffic"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/ai-traffic/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-traffic-tracking

Your own site · 80×15
<a href="https://agentmods.dev/skills/kostja94/marketing-skills/ai-traffic"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/ai-traffic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 998 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.00998
Opus 5 $0.00046 $0.00499
Sonnet 5 $0.00019 $0.00200
Haiku 4.5 $0.00009 $0.00100

Measured 13d ago against content hash 3c9abc98eb7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-traffic-tracking scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

skills/analytics/sources/ai-traffic/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analytics: AI Traffic

Guides tracking of AI-driven search traffic in Google Analytics 4 and Google Search Console.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope

  • AI search traffic: Track in GA4 and GSC; separate AI sources from organic referral
  • Google AI Overviews: AI summary box in Google search (formerly SGE)
  • AI-driven search: Traffic from ChatGPT, Perplexity, Gemini, Claude, Copilot, etc.

Why Track Separately

  • AI traffic is growing but GA4 often groups it as Referral, Organic, or Direct
  • AI visitors may have stronger intent and higher conversion
  • Separating AI Overviews from organic helps assess AI impact

Option 1: Exploration Report (Recommended)

  1. ExploreFree form
  2. Dimensions: Session source (or Session source / medium)
  3. Metrics: Sessions, Engagement rate, Event count, etc.
  4. Filters: Add filter →Session source Matches regex →use regex below
  5. Configure table, save report

Regex (common AI sources):

chatgpt\.com|openai\.com|openai|perplexity\.ai|perplexity|doubao\.com|chat\.qwen\.ai|copilot\.microsoft\.com|copilot\.com|(business\.)?gemini\.google|chat\.deepseek\.com|deepseek\.com|poe\.com|anthropic\.com|claude\.ai|bard\.google\.com|edgeservices\.bing\.com

Option 2: Custom Channel Group

  1. AdminData DisplayChannel Groups
  2. Copy default group, name e.g. "Default and AI Chatbots"
  3. Add channel "AI Chatbots": Source Matches regex (same regex)
  4. Important: Place "AI Chatbots" above "Referral" so it matches first
  5. Save and use in Traffic Acquisition

Option 3: Custom Report

  1. ReportsLibrary →Create Detail Report
  2. Use Traffic Acquisition template
  3. Add filter: Session source Matches regex (same regex)
  4. Save and add to menu

Read the full file on GitHub · 94 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 94 lines · 93 tokens per session scan A 3c9abc98eb7c

Subscribe to this mod's changes

ai-traffic-tracking is a skill published in the GitHub repository kostja94/marketing-skills (967 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 998 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

SEO Content Optimizer

Analyzes and rewrites content to maximize search engine visibility without sounding robotic.

Notysoty/openagentskills · 20 tokens

cold-outbound-sequencer

Use when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a…

aaron-he-zhu/aaron-marketing-skills · 172 tokens

inbox-placement-monitor

Use when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions results", "trend my Gmail Postmaster / Microsoft SNDS reputation", or "did placement drop after my last send"; produces a per-provider inbox/spam/promotions placement read, a domain/IP…

aaron-he-zhu/aaron-marketing-skills · 166 tokens

newsletter-monetization-planner

Use when the user asks to "monetize my newsletter", "build a sponsorship rate card", or "model paid-subscription revenue"; produces a revenue model (paid tiers, ad/sponsorship inventory + CPM/flat rate card, referral/boost loops), a list-growth ↔ revenue projection, and honest-offer / disclosure checks for the SEND-D…

aaron-he-zhu/aaron-marketing-skills · 139 tokens

budget-optimizer

Use when the user asks to "allocate my influencer budget", "optimize spend across tiers", or "compare budget scenarios"; produces a tier/platform/content allocation table, ROI and CPM/CPE projections, scenario comparisons, and mid-campaign reallocation moves. Not for building the full campaign plan — use…

aaron-he-zhu/aaron-marketing-skills · 78 tokens

sales-enablement-kit

Use when the user asks to "build battle cards", "prep the sales team for launch", or "write the internal launch FAQ"; produces the internal enablement kit for a sales-led launch — battle cards vs each named alternative (where we win / where they win / trap questions, every fact traceable), a sales talk track derived…

aaron-he-zhu/aaron-marketing-skills · 166 tokens